Assessments and marking
Assessment schedule
There are three assessments in this course.
| Type | Due date | |
|---|---|---|
| 1 | Formative in-class exercises | Weekly |
| 2 | Formative data science project | TBA |
| 3 | Summative in-person practical test (100%) | 11 December 2025 |
Additional details for each assessment will be sent via course announcements.
Disability accommodations
If you have an official disability accommodation related to exams, please contact the course convenor within the first two weeks of the term to ensure proper arrangements can be made for the in-person practical test.
Extension requests
If you would like to request an extension on an assignment, please review the department policies here.
Extension requests must be made directly to the department at the email address listed in the department policies linked above. The instructors do not grant extension requests.
Please be sure that you will be available to take the in-person practical test on 11 December 2025. Except for a documented and verified emergency approved by the Department or the School, no extensions will be granted for the in-person practical test. If you do not attend the in-person practical test, we will report your absence to the School and you will need to resit during an approved resit period if you wish to receive a mark in this course.
Marking
Each registered non-auditing student will receive a numerical mark in this course. This mark will be based on the student’s performance on the summative assessment only. For a taught master’s program at LSE:
- marks ranging from 70 to 100 are classified as distinction;
- marks ranging from 60 to 70 are classified as merit;
- marks ranging from 50 to 60 are classified as pass; and
- marks below 50 are classified as fail.
Please keep in mind that the marking scale at LSE may differ from your prior institution(s).
Formative assessments are meant to help you develop your skills. Students may receive feedback on formative assessments in some situations. In these situations, students should expect feedback within 3 term weeks of submission, assuming they submitted on time.
If you are not yet familiar with the assessment system at LSE, please review LSE’s Understanding Results webpage.
If you are used to an American-style grading system, you might find this LSE website helpful for better understanding the marking system.
Academic integrity
As scholars and educators, your instructors take academic integrity very seriously. Any academic misconduct will be dealt with in accordance with the LSE Regulations on Assessment Offences.
If you are unfamiliar with the norms and expectations around academic integrity at LSE (or UK universities more generally), then you should review the resources available on LSE’s website and especially the School’s Academic Integrity Awareness Week webpage.
Generative AI
Except when otherwise noted, we freely allow use of generative AI tools such as ChatGPT and Claude to support your learning (LSE’s position 3), as long as your use of these tools would not be considered academic misconduct. Academic misconduct with generative AI includes—but is not limited to—using these tools to substantially complete your work or to fabricate data or other information.